Senior Manager, Data Science & AI

Biogen•Cambridge, MA

3d•$142,000 - $190,000

About The Position

About This Role: The Senior Manager, Data Science Lead will play a pivotal role in Biogen’s Data Science team, driving the development of advanced modeling solutions that deliver automation and decision enablement for Biogen North America. This position will be responsible for building high-impact data science solutions, including marketing optimization, patient-level predictive analytics, machine learning-based personalization, and field force effectiveness strategies. As a hands-on contributor, you will collaborate with cross-functional teams to ensure that data science outputs are actionable, accurate, scalable, and aligned with brand priorities. You’ll serve as a thought partner to commercial leadership, championing the use of data and AI to deliver measurable business value. You will contribute towards building robust techniques, applying model factories, and shaping the design of products and their applications to business objectives. What You’ll Do: Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends. Contribute to the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges. Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms. Be open to feedback from adopters on the quality of outputs and build corrective model fine-tuning and performance continuously. Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks. Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows. Provide technical expertise and thought leadership on the development of analytical tools and reusable frameworks. Promote analytical rigor, responsible experimentation, and model governance best practices across the analytics organization. Collaborate with a high-performing team of data scientists that encourages learning and experimentation. Collaborate with IT to develop ML Ops environments and deliver productized solutions. Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness. Develop and scale Patient 360 models and predictive targeting algorithms for AI-driven lead generation and patient outreach. Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation. Manage relationships with external analytics partners, ensuring alignment with internal data engineering and compliance teams. Who You Are: You are a data scientist with strong subject matter expertise in Gen AI, supervised and unsupervised machine learning algorithms, and model validation. You have hands-on experience in pharma functional areas of data science such as patient finding, patient journey, and marketing optimization. With an innovative and futuristic mindset, you apply data science and AI to commercial and medical use cases effectively. Your ability to communicate and influence, combined with a deep understanding of data science principles, makes you an ideal partner to our teams.

Requirements

Minimum 5 years of hands-on analytics or data science experience, including at least 4 years leading data science projects or teams.
Bachelor's degree in a quantitative field a must.
Strong command of statistical modeling supervised and unsupervised learning, A/B testing, and time-series forecasting.
Experience in marketing mix, portfolio optimization, and Gen AI product design.
Experience deploying data science solutions in a commercial setting, ideally within pharma, biotech, or healthcare.
Proficient in Python, R, SQL, and Snowflake; experience with Power BI, Tableau, or other data visualization tools.
Proven track record of designing and implementing Next Best Action strategies, marketing optimization models, and omnichannel analytics.
Experience working with APLD, PlanTrak, specialty pharmacy, or claims datasets.
Strong communication and influencing skills; comfortable presenting to senior stakeholders and cross-functional teams.

Nice To Haves

Master’s degree in data science, Statistics, Engineering, Computer

Responsibilities

Execute flawlessly the long-term data science and AI vision, ensuring alignment with enterprise capability roadmaps, commercial priorities, and emerging AI/ML trends.
Contribute to the end-to-end development, deployment, and scaling of data science solutions, including predictive models, clustering, segmentation, optimization, and advanced natural language processing (NLP) and large language models (LLMs), to address complex commercial challenges.
Act as a trusted partner to the insights and marketing teams, demonstrating rigor and knowledge in data science algorithms. Be open to feedback from adopters on the quality of outputs and build corrective model fine-tuning and performance continuously.
Serve as the primary data science partner for U.S. commercial brand teams, translating business objectives into analytical frameworks.
Guide business stakeholders through insight interpretation and activation, ensuring outputs are integrated into workflows.
Provide technical expertise and thought leadership on the development of analytical tools and reusable frameworks.
Promote analytical rigor, responsible experimentation, and model governance best practices across the analytics organization.
Collaborate with a high-performing team of data scientists that encourages learning and experimentation.
Collaborate with IT to develop ML Ops environments and deliver productized solutions.
Design and operationalize Next Best Action (NBA) strategies using machine learning to optimize field force effectiveness.
Develop and scale Patient 360 models and predictive targeting algorithms for AI-driven lead generation and patient outreach.
Guide measurement and ROI optimization efforts through marketing/media mix modeling and budget allocation.
Manage relationships with external analytics partners, ensuring alignment with internal data engineering and compliance teams.

Benefits

Regular employees are eligible to receive both short term and long-term incentives, including cash bonus and equity incentive opportunities, designed to reward recent achievements and recognize your future potential based on individual, business unit and company performance.
Medical, Dental, Vision, & Life insurances
Fitness & Wellness programs including a fitness reimbursement
Short- and Long-Term Disability insurance
A minimum of 15 days of paid vacation and an additional end-of-year shutdown time off (Dec 26-Dec 31)
Up to 12 company paid holidays + 3 paid days off for Personal Significance
80 hours of sick time per calendar year
Paid Maternity and Parental Leave benefit
401(k) program participation with company matched contributions
Employee stock purchase plan
Tuition reimbursement of up to $10,000 per calendar year
Employee Resource Groups participation